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OpenRouter vs Together AI

A side-by-side comparison of OpenRouter and Together AI, two Inference tools, drawn from Ignaite's continuously-verified listings.

Compared from listings verified as of

OpenRouter

Inference

One OpenAI-compatible API in front of models from every provider.

View OpenRouter

Together AI

Inference

Hosted inference and fine-tuning for open-weights models.

View Together AI

At a glance

Feature comparison of OpenRouter and Together AI
AttributeOpenRouterTogether AI
CategoryInferenceInference
PricingFREEMIUMFREEMIUM
LicenseProprietaryProprietary
DeploymentCloudCloud
Platforms (differs)API, WebAPI
Model supportMulti-modelMulti-model
Vendor (differs)OpenRouterTogether
Capabilities (differs)
  • LLM gateway / routing
  • Multi-model access
  • Model inference / serving
  • Fine-tuning / training
  • Multi-model access
  • GPU compute

The honest brief

OpenRouter

Swap among 300+ models behind one OpenAI-compatible key with auto-fallback and a single consolidated bill.

  • Swap models by changing one parameter
  • Automatic provider fallback
  • One consolidated bill
  • Dozens of free models
  • Pass-through token pricing
  • Adds a routing hop vs direct provider
  • Markup on some routes
  • Not a self-hostable gateway

Together AI

One stop for the open-model stack: hundreds of open-weights models served plus both LoRA and full fine-tuning.

  • LoRA and full fine-tuning
  • Competitive inference-at-scale pricing
  • OpenAI-compatible API
  • Dedicated endpoints + GPU clusters
  • Open models only, no frontier closed models
  • Less specialized than single-model hosts
  • Throughput varies by model demand

When to pick which

OpenRouter leans on Multi-model access as a headline capability; Together AI treats it as secondary.

  • Multi-model access (primary capability)

They also differ on:

Platforms
API, Web · API

Their capability lists differ in recorded depth — compare the full lists above before deciding.